Partner SE Deployment Manager
$209,000–$300,000 year
HybridSan Francisco, California, United States
Job Summary
Build the partner services operating model, defining engagement paths, governance, quality controls, and escalation mechanisms to guide partners from preparation to independent delivery. Work directly with partners and customer-facing teams to develop delivery capability through real engagements, enablement, coaching, and reusable playbooks. Define accountability across implementation and adoption while selecting and matching services partners to customer opportunities based on capability and delivery risk. Partner cross-functionally with Partner Solutions Engineering, Product, and Support to improve delivery, establish measures for participation and customer outcomes, and represent field needs in tooling and product feedback. Apply AI thoughtfully to improve services operations and partner capability while maintaining human review and quality controls.
Required Qualifications
- Experience building or scaling a professional services, consulting, delivery, or partner-led services practice in an enterprise SaaS, technology, or consulting environment
- Experience managing services operations such as delivery quality, capacity, utilization, profitability, governance, or escalations
- A track record of creating lightweight, repeatable processes and operating mechanisms in an early-stage, fast-growing, or ambiguous environment
- Experience developing partner or delivery-team capability through customer work, coaching, enablement, or structured readiness programs
- Strong technical credibility across enterprise applications, integrations, cloud platforms, APIs, or AI solutions, with the judgment to evaluate approaches, identify risk, and guide escalations
- Demonstrated ability to influence Sales, Delivery, Product, Engineering, Support, and executive stakeholders without relying on formal authority
- A data-informed approach to improving services motions, including the ability to connect operating measures and field feedback to decisions and customer outcomes
- Comfort operating as a hands-on individual contributor and working leader before a larger team or resource model is in place
- Practical AI fluency, including experience using AI to improve delivery, operations, partner capability, or productivity and the judgment to validate outputs and manage customer risk
- Excellent written, verbal, and cross-functional communication skills, with the ability to make complex tradeoffs clear to technical and non-technical stakeholders
- Remote in the United States
- Travel of up to 25%
- Flexibility to work with global partners
- Four days per week in either our San Francisco or Mountain View office
- Agreeing to our use and processing of data as required by the Global Data Privacy Notice
- Agreeing to the Applicant Arbitration Agreement
Desired Qualifications
- Experience using AI to improve delivery, operations, partner capability, or productivity
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